Instructions to use FastVideo/stable-audio-open-small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/stable-audio-open-small-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/stable-audio-open-small-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download transformer/diffusion_pytorch_model.safetensors from FastVideo/stable-audio-open-small-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/FastVideo/stable-audio-open-small-Diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://FastVideo/stable-audio-open-small-Diffusers/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/FastVideo/stable-audio-open-small-Diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
1.36 GB
- Xet hash:
- e6f35c6b909f1c28b88e5d35f9ab4733631f30e84fe6c198c4d9af8391671312
- Size of remote file:
- 1.36 GB
- SHA256:
- ab05de76714f37cd664d653094ce4b985deddfb6916b76090aa18a030f2829fb
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